Special Issue "Deep Reinforcement Learning for Multi-Agent Systems"

A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI in Autonomous Systems".

Deadline for manuscript submissions: 31 January 2024 | Viewed by 201

Special Issue Editor

School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia
Interests: probabilistic verification; self-adaptive software systems; event-streaming software systems; autonomous agents; reinforcement learning; data mining

Special Issue Information

Dear Colleagues,

Deep reinforcement learning (DRL) have attracted numerous real-world applications in various domains. While the majority of DRL research is now focused on single agents, there is a fast-growing trend to extend DRL for problems in multiagent systems. Several foundational approaches to multiagent DRL (MADRL) have emerged, including counterfactual multi-agent (COMA), value-decomposition networks (VDNs) and QMIX, but there are still many challenges in this area, such as large-scale agent teams, heterogeneity and robustness.

This Special Issue aims to collect most up-to-date research in MADRL, ranging from theoretical problems to practical application, and to simulation platforms and applications in this area. Specific topics include (but are not limited to): scalability, partial observability, non-stationarity, credit assignment, heterogeneity, curriculum learning, mechanism design, dynamic programming, planning, communication, adversarial attachment, security, empirical study, simulation, and reflection on current trends.

Dr. Guoxin Su
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AI is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • deep reinforcement learning
  • multi-agent system

Published Papers

This special issue is now open for submission.
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